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trial_index,submit_time,queue_time,worker_generator_uuid,start_time,end_time,run_time,program_string,exit_code,signal,hostname,OO_Info_int_param,OO_Info_int_param_two,OO_Info_float_param,OO_Info_choice_param,arm_name,trial_status,generation_node,RESULT,int_param,float_param,int_param_two,choice_param
0,,,,,,,,,,,,,,,0_0,COMPLETED,SOBOL,-112930.471279916993808001279830932617,-6,-42.68894135951995849609375,-89,16
1,,,,,,,,,,,,,,,1_0,COMPLETED,BOTORCH_MODULAR,-130642.283089832999394275248050689697,-92,-54.868324755109554757837031502277,1,1
2,,,,,,,,,,,,,,,2_0,COMPLETED,BOTORCH_MODULAR,-111413.320000000006984919309616088867,-100,10,10,1
3,,,,,,,,,,,,,,,3_0,COMPLETED,BOTORCH_MODULAR,-173606.536160860996460542082786560059,-98,-76.761614563840723235443874727935,7,1
4,1784140138,2,d2fe91a9-a1e9-49ef-9956-fe94bd1b9845,1784140140,1784140146,6,./.tests/optimization_example --int_param='-100' --float_param='-100.00904811211960065975' --choice_param='1' --int_param_two='10' --nr_results=1,0,,runnervm76tkm,-100,10,-100.009048112119600659752904903144,1,4_0,COMPLETED,BOTORCH_MODULAR,-221432.321854134002933278679847717285,-100,-100.009048112119600659752904903144,10,1
5,1784140150,2,d2fe91a9-a1e9-49ef-9956-fe94bd1b9845,1784140152,1784140158,6,./.tests/optimization_example --int_param='-100' --float_param='-128.53294492345710864356' --choice_param='1' --int_param_two='10' --nr_results=1,0,,runnervm76tkm,-100,10,-128.532944923457108643560786731541,1,5_0,COMPLETED,BOTORCH_MODULAR,-289473.793799309991300106048583984375,-100,-128.532944923457108643560786731541,10,1
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========================================================================
Current git-hash: 56cf026e62b57d197cb4aab19bfc391124cf01d3 (last fully tested stable version 20 commits ago [4d604d1144428d61572f1a083b390631a8aef853, 9346])
Using coverage run -p because $RUN_WITH_COVERAGE is set
[WARNING 07-15 18:28:55] ax.service.utils.with_db_settings_base: Ax currently requires a sqlalchemy version below 2.0. This will be addressed in a future release. Disabling SQL storage in Ax for now, if you would like to use SQL storage please install Ax with mysql extras via `pip install ax-platform[mysql]`.
Using old run's --time: 60
Using old run's --gpus: 0
Run-UUID: cb5cd53f-bdad-4f22-a1af-bd5437cba6b5
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:103: UserWarning: The Python dbus package is not installed.
Try installing it with your distribution's package manager, it is usually called python-dbus or python3-dbus, but you might have to try dbus-python instead, e.g. when using pip.
warnings.warn(msg)
/home/runner/.omniax_venvs/Python_3.10.12/x86_64/lib/python3.10/site-packages/plyer/platforms/linux/notification.py:107: UserWarning: notify-send not found.
warnings.warn("notify-send not found.")
_________________________________________________
/ \
| OmniOpt2 - Grid search? Please, I’m doing ballet |
| through parameter space. |
\ /
=================================================
\
\
\
\
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|__________|
/ /\
/ / \
/___________/___/|
| | |
| ==\ /== | |
| O O | \ \ |
| < | \ \|
/| | \ \
/ | \_____/ | / /
/ /| | / /|
/||\| | /||\/
-------------|
| | | |
<__/ \__>
omniopt --continue runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1 --num_parallel_jobs 1 --worker_timeout 10 --follow --gpus=0 --mem_gb=4 --num_random_steps=1 --max_eval=2 --parameter float_param range -1000 1000 float --send_anonymized_usage_stats --generate_all_jobs_at_once --live_share
Run-folder : /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/ 2
Continuation from runs/__main__tests__BOTORCH_MODULAR___nogridsearch/1
Changed parameter 'float_param': lower from -100.0 to -1000.0, upper from 10.0 to 1000.0, digits from None to 32
See https://imageseg.scads.de/omniax/share?user_id=runner&experiment_name=__main__tests__BOTORCH_MODULAR___nogridsearch&run_nr=131 for live-results.
You have 4 CPUs available for the main process. No CUDA devices found.
Generation strategy: BOTORCH_MODULAR for 9 steps.
Run-Program: ./.tests/optimization_example --int_param='%(int_param)' --float_param='%(float_param)' --choice_param='%(choice_param)' --int_param_two='%(int_param_two)' --nr_results=1
Experiment parameters
┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Name ┃ Type ┃ Lower bound ┃ Upper bound ┃ Values ┃ Type ┃ Log Scale? ┃
┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ int_param │ rangeparameter │ -100 │ 10 │ │ int │ No │
│ float_param │ rangeparameter │ -1000 │ 1000 │ │ float │ No │
│ choice_param │ choiceparameter │ │ │ 1, 2, 4, 8, 16, hallo │ │ │
│ int_param_two │ rangeparameter │ -100 │ 10 │ │ int │ No │
└───────────────┴─────────────────┴─────────────┴─────────────┴───────────────────────┴───────┴────────────┘
Result-Names
┏━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Result-Name ┃ Min or max? ┃
┡━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ RESULT │ min │
└─────────────┴─────────────┘
Failed Jobs parameters
┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ param1 ┃ param2 ┃ param3 ┃ error_description ┃
┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ value1 │ value2 │ value3 │ Some error occurred during execution (this is not a real error!). │
└────────┴────────┴────────┴───────────────────────────────────────────────────────────────────┘
Best RESULT, min (total: 2 + inserted jobs: 4)
┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ OO_Info_int_param ┃ OO_Info_int_param_two ┃ OO_Info_float_param ┃ OO_Info_choice_param ┃ int_param ┃ float_param ┃ int_param_two ┃ choice_param ┃ RESULT ┃
┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ -100.0 │ 10.0 │ -128.5329449234571 │ 1.0 │ -100 │ -128.5329449234571 │ 10 │ 1 │ -289473.79379931 │
└───────────────────┴───────────────────────┴─────────────────────┴──────────────────────┴───────────┴────────────────────┴───────────────┴──────────────┴──────────────────┘
Not printing sixel graphics in CI
Runtime Infos
┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ Number of evaluations ┃ Min time ┃ Max time ┃ Average time ┃ Median time ┃
┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ 2 │ 6.00 sec │ 6.00 sec │ 6.00 sec │ 6.00 sec │
└───────────────────────┴───────────┴───────────┴──────────────┴─────────────┘
╭─ ─────────────────────────────────────────────────────────────────────────────────────── OmniOpt2 Run Summary ─────────────────────────────────────────────────────────────────────────────────────── ─╮
│ │
│ ✅ Optimization complete! │
│ │
│ 📊 Trials: 2 succeeded / 0 failed / 6 done / 6 submitted │
│ ⏱️ Duration: 32s │
│ 🏆 Best RESULT: -289473.79379931 │
│ 📁 Results: /home/runner/work/OmniOpt/OmniOpt/runs/__main__tests__BOTORCH_MODULAR___nogridsearch/2/results.csv │
│ 🧠 Model: BOTORCH_MODULAR │
│ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
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2026-07-15 18:28:58 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, Started OmniOpt2 run...
2026-07-15 18:28:58 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, getting new HP set (no sbatch)
2026-07-15 18:28:58 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, requested 1 jobs, got 1, 0.68 s/job
2026-07-15 18:28:58 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, eval #1/1 start
2026-07-15 18:28:58 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, starting new job
2026-07-15 18:28:58 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, started new job
2026-07-15 18:29:07 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, new result: RESULT: -221432.321854
2026-07-15 18:29:09 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, best RESULT: -221432.321854134, ▁▂▁▄█, finishing jobs, finished 1 job
2026-07-15 18:29:10 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, best RESULT: -221432.321854134, ▁▂▁▄█, getting new HP set (no sbatch)
2026-07-15 18:29:10 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, best RESULT: -221432.321854134, ▁▂▁▄█, requested 1 jobs, got 1, 0.52 s/job
2026-07-15 18:29:10 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, best RESULT: -221432.321854134, ▁▂▁▄█, eval #1/1 start
2026-07-15 18:29:10 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, best RESULT: -221432.321854134, ▁▂▁▄█, starting new job
2026-07-15 18:29:10 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, best RESULT: -221432.321854134, ▁▂▁▄█, started new job
2026-07-15 18:29:19 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, best RESULT: -221432.321854134, ▁▂▁▄█, new result: RESULT: -289473.793799
2026-07-15 18:29:20 (d2fe91a9-a1e9-49ef-9956-fe94bd1b9845): BOTORCH_MODULAR, best RESULT: -289473.79379931, ▁▁▁▃▅█, finishing jobs, finished 1 job
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This logs the CPU and RAM usage of the main worker process.
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timestamp,ram_usage_mb,cpu_usage_percent
1784140135,755.83984375,28.6 Copy raw data to clipboard
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